Brain tumor segmentation based on a new threshold approach

Brain cancer is an abnormal cell population that occurs in the brain. Nowadays, medical imaging techniques play an important role in cancer diagnosis. Magnetic resonance imaging (MRI) is one of the most used techniques to identify and locate the tumor in the brain. Images obtained by medical imaging techniques may become a better quality image thru applying image processing techniques. In this study, we aim to develop a method for clearly distinguishing the tissues affected by the cancer. The proposed approach is used to obtain a segmented tumor region clear enough to be observed by the medical practitioner and give them more detail about the tumor in their diagnosis. In the proposed approach, morphological operations, pixel subtraction, threshold based segmentation and image filtering techniques are used. The proposed approach is based on obtaining clear images of the skull, brain and the tumor. When compared, the proposed approach gave a better result than the other approach. (c) 2018 The Authors. Published by Elsevier B.V.